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Strategic coordination of ICSU data activities

Strategic coordination of ICSU data activities. Peter Fox (RPI) WDS Science Symposium 2011 September 3-6, 2011, Kyoto, JAPAN. The trajectory. Technical advances. From: C. Borgman, 2008, NSF Cyberlearning Report. Coordination for Data. Strategic CSPR Priority Area Assessment on Data 2004

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Strategic coordination of ICSU data activities

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  1. Strategic coordination of ICSU data activities Peter Fox (RPI) WDS Science Symposium 2011 September 3-6, 2011, Kyoto, JAPAN

  2. The trajectory

  3. Technical advances From: C. Borgman, 2008, NSF Cyberlearning Report

  4. Coordination for Data • Strategic • CSPR Priority Area Assessment on Data 2004 • Strategic Committee on Information and Data (SCID) 2007-2008 • Strategic Coordinating Committee on Information and Data (SCCID) 2009-2011 • Implicit • eGY, IPY, IHY, … 2007-2008 • International Scientific Unions • Councils, Committees… • Nations (Australia, U.S., …) • Societies, projects, individuals SCID Sorbonne, Nov. 2007

  5. SCCID - March 2010 @ ICSU

  6. SCCID recommendations • Best practice guide(s) • Adoption by National Members and Union Members either through their own data and information committees or commissions, or independently • and ensure that the guide is followed • And … by all new ICSU projects and programmes http://i43.tower.com/images/mm111618483/best-practice-upper-intermediate-business-english-in-global-bill-mascull-paperback-cover-art.jpg http://xnet.kp.org/newscenter/images/clinexcellence/011409bestpracticecover.jpg

  7. SCCID recommendations http://www.helmholtz.de/fileadmin/user_upload/forschung/Open_Access/Open_Access_Cloud_WEB.jpg http://eloquentscience.com/wp-content/uploads/2011/04/open_access.jpg

  8. SCCID recommendations OECD guidelines = data access and sharing policies http://bernews.com/wp-content/uploads/2011/02/oecd-logo.jpg

  9. SCCID recommendations • Engage actively • publishers of all kinds together • library community • scientific researchers • To • Document and promote community best practice in the handling of supplemental material, publication of data and appropriate data citation. http://www.leebullen.com/Finished%20Pics/Scientists.jpg http://www.blogcdn.com/www.dailyfinance.com/media/2010/03/reed-elsevier-logo240cs030110.jpg http://www.einstruction.com/files/default/files/publishers.jpg

  10. SCCID recommendations • For 2012 - how data science can support the delivery of the science goals of the major ICSU Earth System Research for Global Sustainability initiative and the Planet under Pressure • Exploit expertise in data standards already present • Definition and maintenance of high level data standards standards http://acquisition.jpl.nasa.gov/boo/images/conference.jpg

  11. SCCID recommendations http://www.ct4me.net/images/NCTMStandards.gif http://geospatial.blogs.com/geospatial/images/2008/02/24/img_3546a.jpg

  12. SCCID recommendations http://certificationmap.com/wp-content/uploads/2009/07/tnk_education.jpg

  13. SCCID recommendations http://www.unescap.org/unis/press/2008/nov/forum.jpg

  14. SCCID recommendations http://www.electronicosonline.com/noticias/images/uploads/p_leds.jpg

  15. SCCID recommendations • Analysis of storage models and means, including the possibility of creating an analogue with digital deposit libraries http://datahue.com/Solutions/images/data_storage_layer.png

  16. SCCID recommendations • ICSTI enlarge existing dialogue with the private sector • more commercial companies • more ICSU National and Union Members http://noblesalesint.com/lib/images/mmwhatwebring.jpg • Explore how science and commerce can exploit data and information to mutual benefit www.icsti.org

  17. SCCID recommendations • The WDS should be the natural home for science in-reach activities and should work with CODATA on raising visibility of data and information management by scientists http://ffce.org/images/photos/jerry_howl.jpg

  18. Summary • Data science and informatics have emerged and ICSU is paying attention and stepping up for strategic coordination • Early results (ICSTI, CODATA, PIC and WDS response) are promising, others are not (Unions, Nations) • Penetration down to societies and the working ranks is needed – move from 10s to 100s to 1000s • Significant opportunities for scientist with minimal resources (data, computation) to be(come) data scientists • Thanks for your attention - foxp@rpi.edu, http://tw.rpi.edu

  19. Scale free! Super nodes…

  20. Back shed

  21. Present and future =data scientists • Formal training in the key cognitive and skill areas will enable graduates to become key participants in eScience collaborations • The need is to teach key methodologies in application areas based on real research experience and build a skill-set.

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